cv::xfeatures2d::AffineFeature2D Class Reference

Class implementing affine adaptation for key points. More...

#include <opencv2/xfeatures2d.hpp>

Collaboration diagram for cv::xfeatures2d::AffineFeature2D:

Public Member Functions
virtual void	detect (InputArray image, std::vector< Elliptic_KeyPoint > &keypoints, InputArray mask=noArray())=0
	Detects keypoints in the image using the wrapped detector and performs affine adaptation to augment them with their elliptic regions.
virtual void	detect (InputArray image, std::vector< KeyPoint > &keypoints, InputArray mask=noArray())
	Detects keypoints in an image (first variant) or image set (second variant).
virtual void	detect (InputArrayOfArrays images, std::vector< std::vector< KeyPoint > > &keypoints, InputArrayOfArrays masks=noArray())
virtual void	detectAndCompute (InputArray image, InputArray mask, std::vector< Elliptic_KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false)=0
	Detects keypoints and computes descriptors for their surrounding regions, after warping them into circles.
virtual void	detectAndCompute (InputArray image, InputArray mask, std::vector< KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false)
Public Member Functions inherited from cv::Feature2D
virtual	~Feature2D ()
virtual void	compute (InputArray image, std::vector< KeyPoint > &keypoints, OutputArray descriptors)
	Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).
virtual void	compute (InputArrayOfArrays images, std::vector< std::vector< KeyPoint > > &keypoints, OutputArrayOfArrays descriptors)
virtual int	defaultNorm () const
virtual int	descriptorSize () const
virtual int	descriptorType () const
virtual bool	empty () const CV_OVERRIDE
	Return true if detector object is empty.
virtual String	getDefaultName () const CV_OVERRIDE
virtual void	read (const FileNode &) CV_OVERRIDE
	Reads algorithm parameters from a file storage.
void	read (const String &fileName)
void	write (const String &fileName) const
virtual void	write (FileStorage &) const CV_OVERRIDE
	Stores algorithm parameters in a file storage.
void	write (FileStorage &fs, const String &name) const
Public Member Functions inherited from cv::Algorithm
	Algorithm ()
virtual	~Algorithm ()
virtual void	clear ()
	Clears the algorithm state.
virtual void	save (const String &filename) const
void	write (FileStorage &fs, const String &name) const

Static Public Member Functions
static Ptr< AffineFeature2D >	create (Ptr< FeatureDetector > keypoint_detector)
	Creates an instance where keypoint detector and descriptor extractor are identical.
static Ptr< AffineFeature2D >	create (Ptr< FeatureDetector > keypoint_detector, Ptr< DescriptorExtractor > descriptor_extractor)
	Creates an instance wrapping the given keypoint detector and descriptor extractor.
Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file.
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String.
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node.

Additional Inherited Members
Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Detailed Description

Class implementing affine adaptation for key points.

A FeatureDetector and a DescriptorExtractor are wrapped to augment the detected points with their affine invariant elliptic region and to compute the feature descriptors on the regions after warping them into circles.

The interface is equivalent to Feature2D, adding operations for Elliptic_KeyPoints instead of KeyPoints.

Member Function Documentation

create() [1/2]

static Ptr< AffineFeature2D > cv::xfeatures2d::AffineFeature2D::create ( Ptr< FeatureDetector > keypoint_detector )

inlinestatic

Creates an instance where keypoint detector and descriptor extractor are identical.

create() [2/2]

static Ptr< AffineFeature2D > cv::xfeatures2d::AffineFeature2D::create ( Ptr< FeatureDetector > keypoint_detector, Ptr< DescriptorExtractor > descriptor_extractor )

static

Creates an instance wrapping the given keypoint detector and descriptor extractor.

detect() [1/3]

virtual void cv::xfeatures2d::AffineFeature2D::detect ( InputArray image, std::vector< Elliptic_KeyPoint > & keypoints, InputArray mask = noArray() )

pure virtual

Detects keypoints in the image using the wrapped detector and performs affine adaptation to augment them with their elliptic regions.

Here is the call graph for this function:

detect() [2/3]

virtual void cv::Feature2D::detect ( InputArray image, std::vector< KeyPoint > & keypoints, InputArray mask = noArray() )

virtual

Detects keypoints in an image (first variant) or image set (second variant).

Parameters

image	Image.
keypoints	The detected keypoints. In the second variant of the method keypoints[i] is a set of keypoints detected in images[i] .
mask	Mask specifying where to look for keypoints (optional). It must be a 8-bit integer matrix with non-zero values in the region of interest.

Reimplemented from cv::Feature2D.

detect() [3/3]

virtual void cv::Feature2D::detect ( InputArrayOfArrays images, std::vector< std::vector< KeyPoint > > & keypoints, InputArrayOfArrays masks = noArray() )

virtual

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Parameters

images	Image set.
keypoints	The detected keypoints. In the second variant of the method keypoints[i] is a set of keypoints detected in images[i] .
masks	Masks for each input image specifying where to look for keypoints (optional). masks[i] is a mask for images[i].

Reimplemented from cv::Feature2D.

detectAndCompute() [1/2]

virtual void cv::xfeatures2d::AffineFeature2D::detectAndCompute ( InputArray image, InputArray mask, std::vector< Elliptic_KeyPoint > & keypoints, OutputArray descriptors, bool useProvidedKeypoints = false )

pure virtual

Detects keypoints and computes descriptors for their surrounding regions, after warping them into circles.

detectAndCompute() [2/2]

virtual void cv::Feature2D::detectAndCompute ( InputArray image, InputArray mask, std::vector< KeyPoint > & keypoints, OutputArray descriptors, bool useProvidedKeypoints = false )

virtual

Detects keypoints and computes the descriptors

Reimplemented from cv::Feature2D.

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The documentation for this class was generated from the following file:

• opencv2/xfeatures2d.hpp